Abstract

For bistatic forward-looking synthetic aperture radar (BFSAR), motion errors induce two adverse effects on the echo, namely, azimuth phase error and residual range cell migration (RCM). Under the presumption that residual RCM is within a range resolution cell, residual RCM can be neglected, and azimuth phase error can be compensated utilizing autofocus methods. However, in the case that residual RCM exceeds the range resolution, two-dimensional defocus would emerge in the final image. Generally speaking, residual RCM is relatively small and can be neglected in monostatic SAR, while the unique characteristics of BFSAR makes the residual RCM exceeding range resolution cell inevitable. Furthermore, the excessive residual migration is increasingly encountered as resolutions become finer. To cope with such a problem, minimum-entropy based residual RCM correction method is developed in this paper. The proposed method eliminates the necessity of the parametric model when estimating the residual RCM. Moreover, it meets the practical needs of BFSAR owing to no requirement of exhaustive computation. Simulations validate the effectiveness of the proposed method.

Highlights

  • Synthetic aperture radar (SAR) has been used in many civilian and military fields with its all-weather and day/night ability [1]

  • The azimuth resolution is greatly limited in the forward-looking terrain for monostatic SAR, which restricts the application in airplane navigation, landing, etc

  • This paper proposes the signal model of bistatic forward-looking SAR (BFSAR) in the presence of motion errors and analyzes in detail the influence of excessive residual range cell migration (RCM) on the full compressed image

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Summary

Introduction

Synthetic aperture radar (SAR) has been used in many civilian and military fields with its all-weather and day/night ability [1]. The impacts of these higher order terms become serious when the squint angle gets larger [15,16] and the resolution gets higher In this situation, residual RCM correction becomes a necessary procedure for BFSAR imaging. In this paper, based on the entropy metric, we present a relatively simple non-parametric correction algorithm for BFSAR to estimate the residual RCM. In this algorithm, a coordinate descent scheme is employed, where we minimize the entropy by sequentially updating the residual RCM parameters one at a time.

Problem Formulation
Residual RCM Correction
Minimum-Entropy Estimation
Coordinate Descent
Analytical Solution
Numerical Results
Conclusions
Full Text
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